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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Voice Activity Detection
 Břenek, Roman ; Grézl, František (referee) ; Matějka, Pavel (advisor)
This thesis describes techniques for voice activity detection in audio recordings. It is necessary to  correctly classify all non-speech segments and recognize speech with noisy background.  The whole process of voice activity detection (VAD) is described in this thesis, i.e. digitizing audio  signal, feature extraction, training of the system, post-processing and final evaluation. There are  three different systems compared within the thesis . The first one is based on phoneme recognition using neural network, the other two are variations of Gaussian Mixture Models (GMM). Each system was tested on three data sets - Tactical Speaker Identification Speech Corpus (TSID), Ham Radio (HR) and Rich Transcription Evaluation (RT05-RT07). The best results of each system are compared with the results of the third side.
Detailed record
Voice Activity Detection
 Břenek, Roman ; Grézl, František (referee) ; Matějka, Pavel (advisor)
This thesis describes techniques for voice activity detection in audio recordings. It is necessary to  correctly classify all non-speech segments and recognize speech with noisy background.  The whole process of voice activity detection (VAD) is described in this thesis, i.e. digitizing audio  signal, feature extraction, training of the system, post-processing and final evaluation. There are  three different systems compared within the thesis . The first one is based on phoneme recognition using neural network, the other two are variations of Gaussian Mixture Models (GMM). Each system was tested on three data sets - Tactical Speaker Identification Speech Corpus (TSID), Ham Radio (HR) and Rich Transcription Evaluation (RT05-RT07). The best results of each system are compared with the results of the third side.
Detailed record

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